D.Sc. (dr.scient.),
Aalborg University, January 2000.
Ph.D. (lic.scient.) in statistics, University of Aarhus, December
1988.
M.Sc. (cand.scient.), majoring in statistics, minoring in
mathematics, University of Aarhus, June 1984.

Currently, Associate Editor at Advances in Applied
Probability.
Formerly, Associate Editor at the Annals of Applied Probability,
the Scandinavian Journal of Statistics, and Bernoulli.
Formerly, National Editor at
the Scandinavian Journal of Statistics.

Initiator and responsible for the accreditation of the Bachelor
and Master study
in Mathematics and Technology at Aalborg University started in
September 2013.

Received the Spar
Nord Foundation's Research Prize, 2001 (honoured by 250,000 DKK).

According to an Essential Science Indicators (ESI) analysis,
over the last 10 years at October 2007 I was
among
the 1% most cited researchers in the top 50% of journals in
Mathematics, and within this group of mathematicians,
for the October 2007 - December 2007 update period, I
achieved the highest
percent increase in total citations.
In 2008, Thomson Reuters
therefore selected me as a Rising Star in the field of Mathematics
(click here for the interview by ScienceWatch and here for the interview by Nordjyske
Stiftstidende).

C.A.N. Biscio and J. Møller. The accumulated persistence function, a new useful functional summary statistic for topological data analysis, with a view to brain artery trees and spatial point process applications.
Available at arXiv:1611.00630.

R.D. Jacobsen, J. Møller, M. Nielsen and M.G. Rasmussen. Investigations of the effects of random sampling patterns on the stability of generalized sampling. Submitted for journal publication. Available at arXiv: 1607.04424.

J. Møller and E. Rubak. Functional summary statistics on the sphere with an application to determinantal point processes. Available at arXiv:1601.03448. To appear in Spatial Statistics. DOI: 10.1016/j.spasta.2016.06.004.

J. Møller and E. Rubak. Determinantal point processes and functional summary statistics on the sphere. Research Report
2, Centre for Stochastic Geometry and Advanced Bioimaging.

J. Møller, M. Ghorbani and E. Rubak. Mechanistic spatio-temporal point process models
for marked point processes, with a view to forest
stand data. To appear in Biometrics. DOI: 10.1111/biom.12466.

F. Lavancier and J. Møller. Modelling aggregation on the large
scale and regularity on the small scale in spatial point pattern
datasets. Scandinavian Journal of Statistics, 43,
587-609. DOI: 10.1111/sjos.12193.

J. Møller, F. Safavimanesh and J.G. Rasmussen. The cylindrical
K-function and Poisson line cluster point processes. Research Report
3, Centre for Stochastic Geometry and Advanced Bioimaging. Available at arXiv:1503.07423.

J. Møller and M.L. Yiu. The distribution of communication cost for a
mobile service scenario. Research Report R-2009-11, Department of Mathematical Sciences,
Aalborg University.

J. Møller and K. Helisova. Simulation of random set models for unions of discs and the use of power
tessellations. The Sixth
International Symposium on Voronoi Diagrams in Science and
Engineering, Ed. F. Anton, IEEE Computer Socity, Los Alamitos,
California, 99-108.

J. Møller and R.P. Waagepetersen. Modern statistics for spatial point processes. Research Report
R-2006-12, Department of Mathematical Sciences, Aalborg
University.

J.B. Illian, J. Møller and R.P. Waagepetersen. Spatial point process analysis for a plant community with high biodiversity. Research Report
R-2006-05, Department of Mathematical Sciences, Aalborg
University.

J. Møller and R.P. Waagepetersen. Contribution to the discussion
of Besag, J. and Higdon, D. (1999): Bayesian analysis of
agricultural field experiments. Journal of the Royal Statistical
Society: Series B (Statistical Methodology), 61, 735.